Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices similarly to humans. By organizing inf ...

As AI, enterprise adoption, and compliance converge, the ability to compute on sensitive data without exposing it on public ...

AI Center of Excellence for its Bangalore office. This role focuses on designing, developing, and deploying cloud-based ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

One of the entrepreneurs often referenced in discussions about scalable knowledge-based businesses is Richard Yuzee.

The federal government on Monday launched a monitoring system called 'SHIKRA' to track applications, printing, deliveries, and overall performance as part of its efforts to upgrade passport operations ...

The Great HR Quiz 2026, conducted by CIPM Sri Lanka on 28 January at Monarch Imperial, Sri Jayewardenepura Kotte, was more ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Through a detailed mapping of the operating principles of current geothermal systems, scientists are pointing to vast, ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...